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Data Science for Economics and Finance [2021]

1
Data Science Technologies in Economics and Finance: A Gentle Walk-In
2
Supervised Learning for the Prediction of Firm Dynamics
3
Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting
4
Machine Learning for Financial Stability
5
Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms
6
Classifying Counterparty Sector in EMIR Data
7
Massive Data Analytics for Macroeconomic Nowcasting
8
New Data Sources for Central Banks
9
Sentiment Analysis of Financial News: Mechanics and Statistics
10
Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies
11
Extraction and Representation of Financial Entities from Text
12
Quantifying News Narratives to Predict Movements in Market Risk
13
Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets?
14
Network Analysis for Economics and Finance: An Application to Firm Ownership
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